Delete files encoder.pt encoder_tokens_10k.pt encoder_tokens_10k_metadata.json manifest/split.parquet manifest/data_config.json with huggingface_hub
Browse files- encoder.pt +0 -3
- encoder_tokens_10k.pt +0 -3
- encoder_tokens_10k_metadata.json +0 -77
- manifest/data_config.json +0 -53
- manifest/split.parquet +0 -3
encoder.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdb0bd2437c063a79c871eb54445dbee6fb82bd9e20186768fa5b947ffd9d474
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encoder_tokens_10k.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c95bb465bf4a948d8858bcdf51a0ce851e6ba9e849a8db2772fca4f49b14312a
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encoder_tokens_10k_metadata.json
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{
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"encoder_checkpoint": "data/encoder/checkpoint/encoder.pt",
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"coord_scale": 3500.0,
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"encoder_args": {
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"v4_config": "data/processed/v4/v4_data_config.json",
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"v4_normalization": "data/processed/v4/v4_normalization.json",
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"output_dir": "outputs/encoder_pretrain",
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"tile_size": 7000.0,
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"min_tile_points": 200,
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"max_tile_points": 4096,
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"tiles_per_batch": 8,
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"d_model": 256,
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"num_layers": 6,
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"num_heads": 8,
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"dropout": 0.1,
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"input_length": 294,
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"mask_ratio": 0.3,
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"mask_strategy": "block",
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"sync_mask": true,
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"mask_schedule": "fixed",
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"eval_mask_ratio": 0.3,
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"model_version": "v3_3",
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"patch_size": 8,
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"temporal_layers": 2,
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"temporal_heads": 4,
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"residual_loss_weight": 1.0,
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"residual_consistency_weight": 0.1,
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"residual_head_mode": "additive",
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"coord_scale": 3500.0,
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"residual_head_lr": 0.0001,
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"init_from_checkpoint": null,
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"point_sampling": "residual_weighted",
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"residual_sampling_alpha": 0.75,
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"max_steps": 150000,
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"duration_hours": null,
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"lr": 0.0004,
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"min_lr": 3e-05,
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"lr_scheduler": "cosine",
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"scheduler_total_steps": 150000,
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"warmup_steps": 1000,
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"weight_decay": 0.01,
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"precision": "bf16",
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"device": "cuda:0",
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"seed": 42,
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"split_strategy": "random",
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"val_fraction": 0.1,
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"test_fraction": 0.1,
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"stratify_bins": 3,
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"val_batches": 16,
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"val_every_steps": 1000,
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"val_seed": 1729,
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"checkpoint_every_steps": 5000,
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"log_every_steps": 200,
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"train_window_steps": 1000,
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"resume_from": null
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},
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"manifest_path": "data/encoder/manifest/split.parquet",
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"data_config_path": "data/encoder/manifest/data_config.json",
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"normalizer_mean": -2.6937686788514412,
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"normalizer_std": 5.697023090760733,
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"tile_size": 7000.0,
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"grid_size": 8,
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"n_tokens": 65,
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"n_tiles": 10000,
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"d_model": 256,
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"input_length": 294,
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"time_window_start": 8,
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"time_window_end": 302,
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"token_layout": "index 0 = CLS, 1..64 = 8x8 bins row-major",
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"extraction_script": "src/egms_encoder/extract_tokens.py",
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"extraction_date_utc": "2026-07-01T00:26:39Z",
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"bin_occupancy_mean": 0.8588296875,
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"bin_occupancy_median": 0.9375,
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"n_points_per_tile_mean": 2018.0485,
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"n_points_per_tile_min": 200,
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"n_points_per_tile_max": 4900
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}
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manifest/data_config.json
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{
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"version": "v4",
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"created": "2026-05-27",
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"source": {
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"tiles_dir": "data/processed/tiles_l3_u_2019_2023_europe",
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"total_tiles_available": 131281
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},
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"filter": {
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"max_nan_mean": 0.02,
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"require_first_valid": 0,
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"require_last_valid_min": 301,
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"min_points": 200,
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"pool_size": 83323,
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"pool_total_points": 101340689
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},
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"time_window": {
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"t_start": 8,
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"t_end": 302,
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"input_length": 294,
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"rationale": "Pool tiles are 100% NaN-free within [t=8, t=302). Earlier steps (t=1,4-7) and tail steps (t=302,303) are systematically missing in 10-21% of pool tiles and are trimmed. Verified by scripts/v4_verify_trim_zero_nan.py on full 83K pool: 0 residual NaN.",
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"compared_to_v33": "V3.3 used 302 steps (t=0..301 of the no_tail parquet). V4 uses 294 steps (t=8..301 of the raw npz). V4 starts ~6 weeks later in 2019."
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},
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"geographic_sampling": {
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"method": "grid_max_npoints_with_round_robin",
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"grid_m": 30000,
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"target_tiles": 10000,
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"sampled_tiles": 10000,
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"occupied_cells": 4142,
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"cells_in_sample": 4142,
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"rounds_used": 3,
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"total_points_sampled": 20180485,
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"seed": 42
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},
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"files": {
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"pool_candidates": "data/processed/v4/v4_pool_candidates.parquet",
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"sample_10k": "data/processed/v4/v4_sample_10k.parquet",
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"split": "data/processed/v4/v4_split.json",
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"nan_profiles_source": "outputs/archive/V4/nan_pattern_analysis_20260527_145457/v4_nan_profiles.parquet"
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},
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"split": {
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"method": "plain_random_tile_level",
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"ratios": {"train": 0.80, "val": 0.10, "test": 0.10},
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"counts": {"train": 8000, "val": 1000, "test": 1000},
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"seed": 1729,
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"n_grid_cells_per_split": {"train": 4022, "val": 925, "test": 923, "total_cells": 4142},
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"backup_spatial_blocked": "data/processed/v4/v4_split_spatial_blocked.{json,parquet}.bak"
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},
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"tile_field_layout": {
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"feature_columns_count": 10,
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"expected_layout": "[easting, northing, height, rmse, mean_velocity, mean_velocity_std, acceleration, acceleration_std, seasonality, seasonality_std, time_series(294)]",
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"note": "LazyTileStore must construct rows in this order from per-tile npz to remain compatible with V3.3 trainer expectations."
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}
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}
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manifest/split.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfb92ef7604d6ab18449f24a10d519985030c87cf6bf380dbc338ed5c3d91784
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size 434406
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